OVERVIEW

The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high‐net‐worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Bengaluru and other major financial centers around the world.

Risk Engineering (“RE”), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including New York, Dallas, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. Analytics & Reporting (A&R) is responsible for reviewing, publishing, interpreting and communicating the firm’s independent and authoritative risk and capital measures. This includes understanding financial/non-financial risk by analyzing risk and capital metrics to evaluate, explain and justify features and emerging trends observed in the Firm’s risk data.

ROLE DESCRIPTION

We are seeking a VP-level candidate to join the A&R – Capital and Financial Reporting team. The successful candidate will be an integral part of a pan-risk team responsible for the calculation and analysis of capital metrics and stress test results, with a focus on the delivery of operational risk components of the Comprehensive Capital Analysis and Review (CCAR) exercise and the calculation of Operational Risk Weighted Assets (RWA), involving:

• Managing the end-to-end CCAR operational risk loss projection process, establishing and communicating timelines to achieve timely completion of a key regulatory deliverable and performing review and challenge to ensure high-quality output
• Calculating and analysing Operational RWA results
• Liaising with groups such as Modelers/Strats, Controllers, Enterprise Risk, trading and investing businesses, Legal, Compliance, Model Risk Management and the firm’s Insurance group to gather inputs and communicate insights
• Working with Operational Risk specialists in domains such as cyber risk and algorithmic trading risk who review risk and control self-assessment (RCSA) results and business environment and internal control factors (BEICFs) and facilitate workshops with trading and investing businesses to inform scenario analysis used to estimate loss projections
• Identifying areas of potential improvement and interpreting the results of sensitivity analysis to fine-tune methodologies and assumptions and achieve the appropriate balance of conservativeness and commerciality 
• Working with Engineers to develop, test and integrate enhanced workflows to deliver automation, maximize efficiency, improve control and enhance the results’ timeliness and accuracy
• Writing and consolidating documentation to explain processes, and contributing to firmwide documents such as the firm’s Capital Plan
• Presenting to and preparing materials for the firm’s internal governing bodies such as Risk Committees and executive members of the firm
• Interacting with the firm’s external governing bodies such as external regulators and industry groups

WHAT WE LOOK FOR

The role is ideal for collaborative individuals who have sound technical skills, financial risk acumen, strong ethics, and attention to detail. Whether offering analytical insights or engaging with the firm’s regulators, the role gives you a holistic experience of being a risk management professional.

OPPORTUNITIES 

In performing the job function, you will have the following opportunities:

• Work in a dynamic & highly creative teamwork and consensus-orientated environment
• Exposure to industry leading market data, pricing and risk and capital models for all activities the Firm engages in
• Exposure to challenging quantitative problems and large volumes of data (a.k.a ‘Big Data’) and the tools and techniques to interact with, and determine meaningful interpretations of, such data
• Development of economic, financial product and market knowledge
• Engagement in critical internal risk management activities, and provision of data to both internal and external stakeholders and firm governing bodies
• Opportunities to work with senior members of the firm and a wide variety of groups across all areas of the firm

SKILLS AND RELEVANT EXPERIENCE

• Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering
• Experience of risk measurement, operational risk management and/or the delivery of regulatory projects involving multiple stakeholders
• Excellent written and verbal communication skills
• Entrepreneurial, creative, self-motivated and team-orientated
• Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis
• Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation and productivity tools for cultivating insights into risk & capital metric data
• Experience with, or keen interest to develop expertise in, pricing, risk and capital models
• Experience with, or keen interest to develop expertise in, financial markets & economics